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remote-run-ssh - Run CVlization Examples on Remote GPU via SSH

Run CVlization examples on remote GPU host by syncing minimal workspace and launching Docker scripts

Tags

Updated: 2026-03-20

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Sync example directory to remote host
  • Build Docker image on remote host
  • Run training script with GPU access
  • Monitor execution logs
  • Capture training metrics
  • Retrieve artifacts from remote host
  • Document run details

Inputs

  • Example directory path
  • SSH access to remote GPU host
  • Local CVlization repository
  • Hugging Face tokens

Outputs

  • Remote workspace at /tmp/cvlization_remote
  • Training logs and metrics
  • Model checkpoints
  • Run documentation

Requirements

  • SSH config mapping to remote host
  • Remote GPU with Docker runtime
  • At least 15 GB free space on remote /tmp

Source

  • Spec: SKILL.md

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SSH
GPU
Docker
Remote Training
ML Experiments
Sync example directory to remote host
Build Docker image on remote host
Run training script with GPU access
Monitor execution logs
Example directory path
SSH access to remote GPU host
Local CVlization repository
Remote workspace at /tmp/cvlization_remote
Training logs and metrics
Model checkpoints